This lessons learned report gives an overview of the output and results of the first phase of the REDUCES project. The introduction states the relevance of combining a policy approach with business model analysis, and defines the objectives. Next, an overview is given of circular economy good business practices in the regions involved. Examining these business practices helped to define the regional needs for circular economy policy. This business approach proved to be a solid base for developing regional circular economy action plans, the last chapter of this report.
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Are the so-called “new” business models focused on “sharing” actually promoting new behaviour or are they simply using old behaviour of the provider/consumer in a new technological environment? Are the new tech companies in the sharing economy with their “new” business models grabbing too much power, unnoticeably?
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Often, simplified cultural explanations of a nation‟s economy are common sense and taken for granted. Amidst the debate about the propensity of European countries to compete with other prosperous knowledge economies, some consultants in The Netherlands postulate that the Dutch will never be able to match the requirements of the new economy because of their „polder-model‟, a term used for the Dutch model of gaining consensus in which employers, syndicates and the government meet with each other to make agreements about labour. This postulation was made against the general opinion of some years ago, when this same polder-model was perceived as the main cause of the economic success of the Dutch in the 1990s: “Consensus lies at the heart of the Dutch success where unemployment has been cut to half (2% in 2000) of what it was in 1997. The government, with support of employers and unions, has cut public spending as a share of GDP from 60 to 50%. It is the combination of a quiet and flexible labour market with a solid monetary and fiscal policy and introducing more dynamic markets which is the core of the polder model.”
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The transition towards an economy of wellbeing is complex, systemic, dynamic and uncertain. Individuals and organizations struggle to connect with and embrace their changing context. They need to create a mindset for the emergence of a culture of economic well-being. This requires a paradigm shift in the way reality is constructed. This emergence begins with the mindset of each individual, starting bottom-up. A mindset of economic well-being is built using agency, freedom, and responsibility to understand personal values, the multi-identity self, the mental models, and the individual context. A culture is created by waving individual mindsets together and allowing shared values, and new stories for their joint context to emerge. It is from this place of connection with the self and the other, that individuals' intrinsic motivation to act is found to engage in the transitions towards an economy of well-being. This project explores this theoretical framework further. Businesses play a key role in the transition toward an economy of well-being; they are instrumental in generating multiple types of value and redefining growth. They are key in the creation of the resilient world needed to respond to the complex and uncertain of our era. Varta-Valorisatielab, De-Kleine-Aarde, and Het Groene Brein are frontrunner organizations that understand their impact and influence. They are making bold strategic choices to lead their organizations towards an economy of well-being. Unfortunately, they often experience resistance from stakeholders. To address this resistance, the consortium in the proposal seeks to answer the research question: How can individuals who connect with their multi-identity-self, (via personal values, mental models, and personal context) develop a mindset of well-being that enables them to better connect with their stakeholders (the other) and together address the transitional needs of their collective context for the emergence of a culture of the economy of wellbeing?
Onze huidige voedselvoorziening wordt gekenmerkt door overmatig gebruik van bestrijdingsmiddelen zoals antibiotica, genetische manipulatie, overdadig veel transport, water en andere grondstoffen worden gebruikt en productieprocessen gebaseerd op fossiele brandstoffen. Ook wordt veel landbouwgrond dusdanig uitgeput dat de kwaliteit van de grond en de diversiteit sterk achteruit gaan. Gezonde en duurzaam geproduceerde voeding zou voor iedereen bereikbaar moeten zijn. Bovendien is er veel leegstand in verschillende regio’s, deze leegstand kan door middel van aquacultuur systemen zeer waardevol worden benut. Dit is de aanleiding geweest om te zoeken naar alternatieve mogelijkheden voor duurzame productie van voedsel binnen de agrifoodsector. Geïntegreerde aquacultuur systemen worden verwacht goed toepasbaar te zijn voor duurzame voedingsproductie. Deze systemen verminderen de afhankelijkheid van de huidige voedselvoorziening van chemie, olie en gas. Bovendien stimuleert het de lokale en regionale economie en schept het duurzame werkgelegenheid. De doelstelling is het sluiten van de materiaalstroomketen, het voorkomen van afvalstoffen en het stimuleren van grondstof besparing. De aanpak van dit project is daarom gericht op de transitie naar circulaire materiaalstromen waarbij hoogwaardig hergebruik van de materialen mogelijk is op een manier waarbij waarde wordt toegevoegd. Hierbij worden mogelijkheden verkent in het kader van de biobased economy en nieuwe business- en verdienmodellen van dergelijke geïntegreerde aquaculturen. De onderzoeksvraag voor A2FISH is welke circulaire business- en verdienmodellen er realiseerbaar zijn voor kansrijke geïntegreerde aquacultuursystemen binnen de agrifoodsector. Om die onderzoeksvraag uiteindelijk te kunnen beantwoorden, zijn een aantal deelvragen geformuleerd: • Welke aquacultuursystemen zijn kansrijk toepasbaar binnen de agrifoodsector? • Aan welke technische en economische aspecten moet een aquacultuursysteem voldoen om te komen tot kansrijke business- en verdienmodellen? • Welke soorten planten kunnen worden met waardevolle inhoudsstoffen kunnen worden gekweekt met de aquacultuursystemen? • Welke soorten gangbaar industrieel visvoer kan worden gefabriceerd uit reststromen uit de voedingsmiddelenindustrie en welke invloed heeft dit voer als bemesting op de waterkwaliteit? • Hoe ziet een vervolgtraject voor een geïntegreerd circulair aquacultuursysteem eruit en in hoeverre is dit anders dan voor gangbare alternatieven?
The increasing amount of electronic waste (e-waste) urgently requires the use of innovative solutions within the circular economy models in this industry. Sorting of e-waste in a proper manner are essential for the recovery of valuable materials and minimizing environmental problems. The conventional e-waste sorting models are time-consuming processes, which involve laborious manual classification of complex and diverse electronic components. Moreover, the sector is lacking in skilled labor, thus making automation in sorting procedures is an urgent necessity. The project “AdapSort: Adaptive AI for Sorting E-Waste” aims to develop an adaptable AI-based system for optimal and efficient e-waste sorting. The project combines deep learning object detection algorithms with open-world vision-language models to enable adaptive AI models that incorporate operator feedback as part of a continuous learning process. The project initiates with problem analysis, including use case definition, requirement specification, and collection of labeled image data. AI models will be trained and deployed on edge devices for real-time sorting and scalability. Then, the feasibility of developing adaptive AI models that capture the state-of-the-art open-world vision-language models will be investigated. The human-in-the-loop learning is an important feature of this phase, wherein the user is enabled to provide ongoing feedback about how to refine the model further. An interface will be constructed to enable human intervention to facilitate real-time improvement of classification accuracy and sorting of different items. Finally, the project will deliver a proof of concept for the AI-based sorter, validated through selected use cases in collaboration with industrial partners. By integrating AI with human feedback, this project aims to facilitate e-waste management and serve as a foundation for larger projects.
Lectorate, part of NHL Stenden Hogeschool
